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A Non-inferiority Framework for Cost-Effectiveness Analysis.

Xuanqian Xie1, Lindsey Falk1, James M Brophy2,3

  • 1Health Quality Ontario, Toronto, Canada.

International Journal of Technology Assessment in Health Care
|July 25, 2019
PubMed
Summary
This summary is machine-generated.

A new probabilistic framework simultaneously assesses non-inferiority and cost-effectiveness for new medical technologies. This approach provides a more nuanced view than traditional methods, particularly for less effective, less costly interventions like rTMS for depression.

Keywords:
Cost-effectiveness analysisDecision-making frameworkEffectiveness-preserved thresholdNon-inferiorityProbabilistic sensitivity analysis

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Area of Science:

  • Health Economics
  • Medical Decision Making
  • Psychiatry

Background:

  • Traditional decision rules struggle with new technologies that are less effective and less costly than comparators.
  • Evaluating interventions like repetitive transcranial magnetic stimulation (rTMS) versus electroconvulsive therapy (ECT) for treatment-resistant depression requires nuanced frameworks.
  • Existing methods may not adequately capture the trade-offs between effectiveness and cost for novel treatments.

Purpose of the Study:

  • To propose and illustrate a new probabilistic decision framework for simultaneously evaluating non-inferiority in effectiveness and net monetary benefit (NMB).
  • To compare the outcomes of this new framework against traditional cost-effectiveness acceptability curves (CEACs).
  • To assess the cost-effectiveness of rTMS compared to ECT for treatment-resistant depression using the novel framework.

Main Methods:

  • Modeled quality-adjusted life-years (QALYs) for rTMS, ECT, and placebo.
  • Estimated effectiveness preservation of rTMS using probabilistic sensitivity analysis (PSA).
  • Assessed cost-effectiveness using traditional CEAC and a new framework requiring ≥75% effectiveness preservation and positive NMB.

Main Results:

  • rTMS was less effective and less costly than ECT.
  • Traditional CEAC showed high probabilities of rTMS cost-effectiveness (100% at $0 WTP).
  • The new framework yielded lower probabilities (23% at $0 WTP), reflecting non-inferiority and NMB constraints.

Conclusions:

  • The proposed probabilistic framework offers a distinct perspective for decision-making.
  • It integrates non-inferiority and willingness-to-pay (WTP) thresholds for a more comprehensive evaluation.
  • This framework is particularly valuable for analyzing less effective, less costly new interventions.